{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.desired_capabilities import DesiredCapabilities\n",
    "from bs4 import BeautifulSoup\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [],
   "source": [
    "URL=\"https://www.google.com/flights/explore/#explore;f=JFK,EWR,LGA;t=HND,NRT,TPE,HKG,KIX;s=1;li=8;lx=12;d=2017-06-01\"\n",
    "driver = webdriver.PhantomJS(PJS_PATH)\n",
    "dcap = dict(DesiredCapabilities.PHANTOMJS)\n",
    "dcap[\"phantomjs.page.settings.userAgent\"] = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.80 Safari/537.36\")\n",
    "driver = webdriver.PhantomJS(desired_capabilities=dcap, executable_path=PJS_PATH)\n",
    "driver.implicitly_wait(20)\n",
    "driver.get(URL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "driver.save_screenshot(r'flight_explorer.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = BeautifulSoup(driver.page_source, \"lxml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<!DOCTYPE html>\n",
       "<html><head><meta content=\"text/html; charset=utf-8\" http-equiv=\"content-type\"/><meta content=\"baseUrl=/flights/explore//static/\" name=\"deals::gwt:property\"/><title>Explore flights</title><meta content=\"Explore flights\" name=\"description\"/><script async=\"\" src=\"https://apis.google.com/_/scs/abc-static/_/js/k=gapi.gapi.en.MWXgjJdrW-U.O/m=gapi_iframes,googleapis_client,plusone/rt=j/sv=1/d=1/ed=1/am=AAQ/rs=AItRSTMF4wQu85p8WjPpkdh4euJKa6l1Qw/cb=gapi.loaded_0\"></script><script language=\"javascript\" type=\"text/javascript\">\n",
       "var __JS_ILT__ = new Date();\n",
       "</script>\n",
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       " The Closure Authors under the MIT license. All other code is Copyright\n",
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       "_.k.init=function(){if(!this.T){for(var a,c=0;a=this.w[c];c++)this.Ac(a);this.T=!0}};_.k.Ac=function(a){this.V&&(_.P(a.o,\"mousedown\",a.xe,!1,a),this.aa&&_.T(a.o,this.aa));this.Y&&this.ba&&_.T(a.o,this.ba)};_.k.hc=function(a){this.V&&(_.Je(a.o,\"mousedown\",a.xe,!1,a),this.aa&&_.U(a.o,this.aa));this.Y&&this.ba&&_.U(a.o,this.ba);a.ca()};\n",
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       "f.left))),f=null,d>=c.right?f=c.right>a.left?c.right:a.left:d<c.left&&(f=c.left<a.right?c.left:a.right),h=null,e>=c.bottom?h=c.bottom>a.top?c.bottom:a.top:e<c.top&&(h=c.top<a.bottom?c.top:a.bottom),null===f||null===h||(Math.abs(f-d)>Math.abs(h-e)?h=null:f=null),null!==f?f<=d?a.left=f:a.right=f:null!==h&&(h<=e?a.top=h:a.bottom=h);this.G=10<=(a.right-a.left)*(a.bottom-a.top)?this.o:null}}};_.k.Le=function(){return!1};\n",
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       "_.Ak.prototype.N=function(){_.we(this.B);_.Ak.J.N.call(this)};_.Ak.prototype.A=function(){this.o||(this.o=new _.nh(this.C,this.D,this),_.Ve(this,this.o));this.o.start()};_.Ak.prototype.C=function(){if(!this.b.isDisposed()){var a=this.w,c=vk(this.b);this.w=c;if(a){var d=!1;a.width!=c.width&&(this.L(\"b\"),d=!0);a.height!=c.height&&(this.L(\"a\"),d=!0);d&&this.L(\"resize\")}else this.L(\"a\"),this.L(\"b\"),this.L(\"resize\")}};_.Bk=function(){var a=window,c=_.Cf(a);return tk[c]=tk[c]||new uk(a)};\n",
       "Ck=function(a,c,d,e){if(null!=a)for(a=a.firstChild;a;){if(c(a)&&(d.push(a),e)||Ck(a,c,d,e))return!0;a=a.nextSibling}return!1};Dk=function(){_.yk.call(this)};_.y(Dk,_.yk);Dk.prototype.removeItem=function(a){a=_.S(a);for(var c,d=0;c=this.w[d];d++)if(c.o==a){this.w.splice(d,1);this.hc(c);break}};Ek=function(a,c){var d=[];return Ck(a,c,d,!0)?d[0]:void 0};\n",
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       "_.Ik=function(a,c){_.yk.call(this);this.$=!1;this.F=[];this.Aa=c||!1;this.S=null;this.H=a;this.C={};this.Z=null};_.y(_.Ik,Dk);_.k=_.Ik.prototype;_.k.Pg=_.Mf.K();_.k.Pc=function(a){_.Ik.J.Pc.call(this,a);this.F.push(a);this.$=!0};_.k.init=function(){_.Ik.J.init.call(this);this.Aa&&this.$&&_.P(this.H,\"keydown\",this.Ae,!1,this)};_.k.N=function(){this.Aa&&this.$&&_.Je(this.H,\"keydown\",this.Ae,!1,this);_.Ik.J.N.call(this)};\n",
       "_.k.Ac=function(a){_.Ik.J.Ac.call(this,a);var c=a.o,c=c.id||(c.id=\"ogbkddg\"+_.Nf(this.Pg));this.C[c]=a};_.k.hc=function(a){delete this.C[a.o.id];_.Ik.J.hc.call(this,a)};\n",
       "_.k.Ae=function(a){var c;a:{c=a.target;if(this.C)for(var d=this.H;c&&c!==d;){var e=c.id;if(e in this.C){c=this.C[e];break a}c=c.parentNode}c=null}if(c)if(32==a.keyCode)this.S?this.Tb(0,c):(this.S=c,_.T(this.H,\"gb_Fd\"),_.T(c.o,\"gb_7\"),this.Z=_.P(window.document,\"mousedown\",(0,_.u)(this.Tb,this,a,c,!1)),_.P(this.H,_.ke,this.le,!1,this),this.L(new Jk(c)),Kk(c.o).focus()),a.preventDefault(),a.stopPropagation();else if(this.S){d=null;switch(a.keyCode){case 37:for(a=Gk(c.o);a&&!(a.id in this.C);)a=Gk(a);\n",
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       "e);break;case 9:this.Tb(0,c);break;case 27:this.Tb(0,c,!0)}d&&(this.L(new _.sk(\"dragout\",0,c)),a=new _.sk(\"dragover\",0,null),a.D=d.target.w[0],a.b=d.b,this.L(a),Kk(c.o).focus())}};_.k.le=function(a){var c=Kk(this.S.o);a.target!=c&&this.Tb(0,this.S)};\n",
       "_.k.Tb=function(a,c,d){_.U(this.H,\"gb_Fd\");d?this.L(new _.sk(\"dragout\",0,c)):(a=_.Fk(c.o),a=Lk(this,a),(a=-1!=a?this.F[a]:null)&&a.L(new _.sk(\"drop\",0,null)));this.L(new _.sk(\"dragend\",0,c));_.we(this.Z);delete this.Z;_.Je(this.H,_.ke,this.le,!1,this);this.S=null;_.U(c.o,\"gb_7\")};\n",
       "var Lk=function(a,c){for(var d=-1,e=0;e<a.F.length;e++)if(a.F[e].w[0].o==c){d=e;break}return d},Kk=function(a){return Ek(a,function(a){var d;if(d=_.Ae(a))(d=\"A\"==a.tagName||\"INPUT\"==a.tagName||\"TEXTAREA\"==a.tagName||\"SELECT\"==a.tagName||\"BUTTON\"==a.tagName?!a.disabled&&(!xk(a)||wk(a)):xk(a)&&wk(a))&&_.F?(a=_.fa(a.getBoundingClientRect)?a.getBoundingClientRect():{height:a.offsetHeight,width:a.offsetWidth},a=null!=a&&0<a.height&&0<a.width):a=d,d=a;return d})},Mk=function(a,c){this.target=a;this.b=c}, Jk=function(a){_.sk.call(this,\"dragstart\",0,a)};_.y(Jk,_.sk);\n",
       "_.Nk=new _.hf(88,100);\n",
       "}catch(e){_._DumpException(e)}\n",
       "try{\n",
       "_.Wp={Oh:\"onError\",Ph:\"onInfo\",Jh:\"hideNotificationWidget\",Sh:\"postSharedMessage\",Th:\"reauth\",Wh:\"setNotificationWidgetHeight\",Xh:\"setNotificationWidgetSize\",Yh:\"switchTo\",Lh:\"navigateTo\",Vh:\"setNotificationText\",Uh:\"setNotificationAnimation\"};_.Xp=function(a){(0,window.isFinite)(a)&&(a=String(a));return _.t(a)?/^\\s*-?0x/i.test(a)?(0,window.parseInt)(a,16):(0,window.parseInt)(a,10):window.NaN};\n",
       "var Yp=function(a){a||_.wf();_.Td.call(this)};_.y(Yp,_.Td);Yp.prototype.set=function(a,c){_.Td.prototype.set.call(this,a,c);return this};var Zp=function(a,c,d,e){return a.set(c.key,c.caption,d,e)};Yp.prototype.vb=function(){};Yp.prototype.R=function(){return null};var $p={key:\"ok\",caption:\"OK\"},aq={key:\"cancel\",caption:\"Cancel\"},bq={key:\"yes\",caption:\"Yes\"},cq={key:\"no\",caption:\"No\"},dq={key:\"save\",caption:\"Save\"},eq={key:\"continue\",caption:\"Continue\"}; \"undefined\"!=typeof window.document&&(Zp(new Yp,$p,!0,!0),Zp(Zp(new Yp,$p,!0),aq,!1,!0),Zp(Zp(new Yp,bq,!0),cq,!1,!0),Zp(Zp(Zp(new Yp,bq),cq,!0),aq,!1,!0),Zp(Zp(Zp(new Yp,eq),dq),aq,!0,!0));\n",
       "\n",
       "}catch(e){_._DumpException(e)}\n",
       "try{\n",
       "var fq=function(a){_.I(this,a,0,-1,null)};_.y(fq,_.H);var gq=function(a){var c=window.document.getElementById(\"gbqld\");c&&(c.style.display=a?\"none\":\"block\",c=window.document.getElementById(\"gbql\"))&&(c.style.display=a?\"block\":\"none\")},hq=[\"gbq1\",\"gbq2\",\"gbqfbwa\"],iq=function(a,c){var d={};d._sn=[\"v.gas\",c].join(\".\");_.Ib(a,d)},jq=function(a,c,d){this.o=a;this.w=c;this.b=d||_.m},kq=function(){this.b=[]};kq.prototype.o=function(a,c,d){this.A(a,c,d);this.b.push(new jq(a,c,d))};\n",
       "kq.prototype.A=function(a,c,d){d=d||_.m;for(var e=0,f=this.b.length;e<f;e++){var g=this.b[e];if(g.o==a&&g.w==c&&g.b==d){this.b.splice(e,1);break}}};kq.prototype.w=function(a){for(var c=0,d=this.b.length;c<d;c++){var e=this.b[c];\"catc\"==e.o&&e.w.call(e.b,a)}};\n",
       "var lq=function(){},nq=function(a,c,d){this.B=new kq;this.F=a;this.C=c;this.b=mq(a.offsetWidth,this.C);this.G=d||new _.Ak(_.Bk(),10);_.P(this.G,\"b\",this.D,!1,this)},mq=function(a,c){for(var d=0,e=c.length-1,f=c[0];d<e;){if(a<=f.max)return f.id;f=c[++d]}return c[e].id};nq.prototype.D=function(){var a=mq(this.F.offsetWidth,this.C);a!=this.b&&(this.b=a,this.w(new lq))};nq.prototype.o=function(a,c,d){this.B.o(a,c,d)};nq.prototype.A=function(a,c){this.B.A(a,c)};nq.prototype.w=function(a){this.B.w(a)};\n",
       "var oq,qq,rq,sq,tq;oq=null;_.pq=function(){if(null!=oq)return oq;var a=window.document.body.style;if(!(a=\"flexGrow\"in a||\"webkitFlexGrow\"in a))a:{if(a=window.navigator.userAgent){var c=/Trident\\/(\\d+)/.exec(a);if(c&&7<=Number(c[1])){a=/\\bMSIE (\\d+)/.exec(a);a=!a||\"10\"==a[1];break a}}a=!1}return oq=a};\n",
       "qq=function(a,c,d){var e=window.NaN;window.getComputedStyle&&(a=window.getComputedStyle(a,null).getPropertyValue(c))&&\"px\"==a.substr(a.length-2)&&(e=d?(0,window.parseFloat)(a.substr(0,a.length-2)):(0,window.parseInt)(a.substr(0,a.length-2),10));return e};\n",
       "rq=function(a){var c=a.offsetWidth,d=qq(a,\"width\");if(!(0,window.isNaN)(d))return c-d;var e=a.style.padding,f=a.style.paddingLeft,g=a.style.paddingRight;a.style.padding=a.style.paddingLeft=a.style.paddingRight=0;d=a.clientWidth;a.style.padding=e;a.style.paddingLeft=f;a.style.paddingRight=g;return c-d};\n",
       "sq=function(a){var c=qq(a,\"min-width\");if(!(0,window.isNaN)(c))return c;var d=a.style.width,e=a.style.padding,f=a.style.paddingLeft,g=a.style.paddingRight;a.style.width=a.style.padding=a.style.paddingLeft=a.style.paddingRight=0;c=a.clientWidth;a.style.width=d;a.style.padding=e;a.style.paddingLeft=f;a.style.paddingRight=g;return c};tq=function(a,c){c||-.5!=a-Math.round(a)||(a-=.5);return Math.round(a)}; _.uq=function(a){if(a){var c=a.style.opacity;a.style.opacity=\".99\";_.Xd(a.offsetWidth);a.style.opacity=c}};\n",
       "var vq=function(a){_.L.call(this);this.b=a;this.o=[];this.w=[]};_.y(vq,_.L);vq.prototype.N=function(){vq.J.N.call(this);this.b=null;for(var a=0;a<this.o.length;a++)this.o[a].ca();for(a=0;a<this.w.length;a++)this.w[a].ca();this.o=this.w=null};\n",
       "vq.prototype.Na=function(a){void 0==a&&(a=this.b.offsetWidth);for(var c=rq(this.b),d=[],e=0,f=0,g=0,h=0,l=0;l<this.o.length;l++){var p=this.o[l],r=wq(p),v=rq(p.b);d.push({item:p,jb:r,$g:v,ic:0});e+=r.vc;f+=r.Ic;g+=r.Pb;h+=v}a=a-h-c-g;e=0<a?e:f;f=a;c=d;do{g=!0;h=[];for(l=p=0;l<c.length;l++){var r=c[l],v=0<f?r.jb.vc:r.jb.Ic,C=0==e?0:v/e*f+r.ic,C=tq(C,g),g=!g;r.ic=xq(r.item,C,r.$g,r.jb.Pb);0<v&&C==r.ic&&(h.push(r),p+=v)}c=h;f=a-(0,_.wa)(d,function(a,c){return a+c.ic},0);e=p}while(0!=f&&0!=c.length);\n",
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       "var wq=function(a,c){var d=a.A,e=a.C,f;if(-1==a.B){var g=c;void 0==g&&(g=rq(a.b));f=yq(a);var h=zq(a),l=qq(a.b,\"width\",!0);(0,window.isNaN)(l)&&(l=a.b.offsetWidth-g);g=Math.ceil(l);a.b.style.width=f;Aq(a,h);f=g}else f=a.B;return{vc:d,Ic:e,Pb:f}},xq=function(a,c,d,e){void 0==d&&(d=rq(a.b));void 0==e&&(e=wq(a,d).Pb);c=e+c;0>c&&(c=0);a.b.style.width=c+\"px\";d=a.b.offsetWidth-d;a.b.style.width=d+\"px\";return d-e},yq=function(a){var c=a.b.style.width;a.b.style.width=\"\";return c};\n",
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       "<div class=\"FTWFGDB-f-f\" id=\"root\"><div class=\"gb_he gb_T\" id=\"gb\" style=\"min-width: 980px;\"><div class=\"gb_qd gb_le\"><div class=\"gb_La gb_le gb_R gb_ke gb_T\" style=\"min-width: 129px;\"><div class=\"gb_7d gb_R gb_le gb_ee\"></div><div class=\"gb_Pb gb_le gb_R\" style=\"min-width: 114px;\"><div class=\"gb_ga\" id=\"gbsfw\"></div><div class=\"gb_ca gb_Rb gb_R\" id=\"gbwa\"><div class=\"gb_2b\"><a aria-expanded=\"false\" aria-haspopup=\"true\" class=\"gb_b gb_xb\" data-ved=\"0EL0nCAI\" href=\"https://www.google.com/intl/en/options/\" title=\"Google Apps\"></a><div class=\"gb_Xa\"></div><div class=\"gb_Wa\"></div></div><div aria-hidden=\"true\" aria-label=\"Google Apps\" class=\"gb_ha gb_ga gb_ta\" role=\"region\" tabindex=\"0\"><ul aria-dropeffect=\"move\" class=\"gb_ja gb_aa\"><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"192\" data-ved=\"0EMEuCAMoAA\" href=\"https://myaccount.google.com/?utm_source=OGB\" id=\"gb192\"><span class=\"gb_3\" 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class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"24\" data-ved=\"0EMEuCAsoCA\" href=\"https://www.google.com/calendar\" id=\"gb24\"><span class=\"gb_3\" style=\"background-position:0 -104px\"></span><span class=\"gb_4\">Calendar</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"119\" data-ved=\"0EMEuCAwoCQ\" href=\"https://plus.google.com/?gpsrc=ogpy0\" id=\"gb119\"><span class=\"gb_3\" style=\"background-position:-21px -1489px\"></span><span class=\"gb_4\">Google+</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"51\" data-ved=\"0EMEuCA0oCg\" href=\"https://translate.google.com/?hl=en\" id=\"gb51\"><span class=\"gb_3\" style=\"background-position:0 -625px\"></span><span class=\"gb_4\">Translate</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"31\" data-ved=\"0EMEuCA4oCw\" href=\"https://photos.google.com/\" id=\"gb31\"><span class=\"gb_3\" style=\"background-position:0 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id=\"gb27\"><span class=\"gb_3\" style=\"background-position:0 -349px\"></span><span class=\"gb_4\">Finance</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"25\" data-ved=\"0EMEuCBIoDw\" href=\"https://docs.google.com/document/?usp=docs_alc\" id=\"gb25\"><span class=\"gb_3\" style=\"background-position:0 -1731px\"></span><span class=\"gb_4\">Docs</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"10\" href=\"https://books.google.com/bkshp?hl=en&amp;ei=kRFeVrSwGsPt-QGwwbSgBw&amp;ved=0EKkuCBMoEA\" id=\"gb10\"><span class=\"gb_3\" style=\"background-position:0 -694px\"></span><span class=\"gb_4\">Books</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"30\" data-ved=\"0EMEuCBQoEQ\" href=\"https://www.blogger.com/\" id=\"gb30\"><span class=\"gb_3\" style=\"background-position:0 -2396px\"></span><span class=\"gb_4\">Blogger</span></a></li><li aria-grabbed=\"false\" class=\"gb_Z\"><a class=\"gb_O\" data-pid=\"53\" data-ved=\"0EMEuCBUoEg\" href=\"https://www.google.com/contacts/?hl=en\" id=\"gb53\"><span class=\"gb_3\" style=\"background-position:0 -936px\"></span><span class=\"gb_4\">Contacts</span></a></li></ul><a aria-hidden=\"true\" class=\"gb_ka gb_rd\" href=\"https://www.google.com/intl/en/options/\">Even more from Google</a></div></div><div class=\"gb_8d gb_R\"><div class=\"gb_2b\"><a class=\"gb_Bd gb_Ca gb_9a\" href=\"https://www.google.com/accounts/ServiceLogin?passive=1209600&amp;continue=https://www.google.com/flights/explore/&amp;followup=https://www.google.com/flights/explore/\" id=\"gb_70\" target=\"_top\">Sign in</a><div class=\"gb_Xa\"></div><div class=\"gb_Wa\"></div></div></div></div></div><div class=\"gb_sb gb_R gb_wb\" id=\"gbq1\" style=\"max-width:152px;min-width:152px\"><div class=\"gb_tb\"><a class=\"gb_qc gb_vb\" href=\"/?ei=kRFeVrSwGsPt-QGwwbSgBw&amp;ved=0ENUuCBY\" title=\"Go to Google home\"><span class=\"gb_xb\"></span></a></div></div><div class=\"gb_R gb_ld\"><div id=\"gbq\"><div class=\"gbt\" id=\"gbq2\"><div class=\"gbqfr\" id=\"gbqfw\"><form action=\"https://www.google.com/search\" class=\"gb_Ad\" data-ved=\"0ELsnCBc\" id=\"gbqf\" method=\"get\" name=\"gbqf\" onsubmit=\"\" target=\"\"><fieldset class=\"gbxx\"><legend class=\"gbxx\">Hidden fields</legend><div id=\"gbqffd\"></div></fieldset><fieldset class=\"gbqff gb_R\" id=\"gbqff\"><legend class=\"gbxx\"></legend><div class=\"gbqfwa \" id=\"gbfwa\"><div class=\"gbqfqw\" id=\"gbqfqw\"><div id=\"gbqfaa\"></div><div class=\"gbqfqwb\" id=\"gbqfqwb\"><input autocomplete=\"off\" class=\"gbqfif\" id=\"gbqfq\" name=\"q\" spellcheck='\"false\"' type=\"text\" value=\"\" x-webkit-grammar='\"builtin:search\"' x-webkit-speech=\"\"/></div><div id=\"gbqfab\"></div></div></div></fieldset><div class=\"gb_R gb_zd\" id=\"gbqfbw\"><button aria-label=\"Google Search\" class=\"gbqfb\" id=\"gbqfb\" name=\"btnG\"><span class=\"gbqfi gb_xb\"></span></button></div><div class=\"jsb\" id=\"gbqfbwa\"><button aria-label=\"Google Search\" class=\"gbqfba\" id=\"gbqfba\" name=\"btnK\"><span id=\"gbqfsa\">Google Search</span></button><button aria-label=\"I'm Feeling Lucky\" class=\"gbqfba\" id=\"gbqfbb\" name=\"btnI\" onclick=\"if(this.form.q.value)this.checked=1;else window.top.location='/doodles/'\"><span id=\"gbqfsb\">I'm Feeling Lucky</span></button></div></form></div></div></div></div></div><div id=\"gbw\"></div></div><div id=\"gba\"></div><div class=\"FTWFGDB-f-a\" style=\"padding-bottom: 57px;\"><div class=\"FTWFGDB-f-b\" elt=\"debugWidgetContainer\"></div><div class=\"FTWFGDB-f-c\"><div class=\"FTWFGDB-f-d FTWFGDB-f-g\">Explore flights</div><div class=\"FTWFGDB-f-e\" elt=\"filterBar\"><div class=\"FTWFGDB-i-a\"><table class=\"FTWFGDB-i-c\"><colgroup><col></col><col></col></colgroup><tbody><tr><td width=\"100%\"><div class=\"FTWFGDB-i-b\"><div class=\"FTWFGDB-c-b FTWFGDB-n-d FTWFGDB-n-a\"><div class=\"gwt-HTML FTWFGDB-n-f FTWFGDB-n-c\">Up to 1 stop</div></div><div class=\"FTWFGDB-c-b FTWFGDB-n-d\"><div class=\"gwt-HTML FTWFGDB-n-f FTWFGDB-n-c\">Airline</div></div></div></td><td> </td></tr></tbody></table></div></div></div><div class=\"FTWFGDB-f-d\" elt=\"toolbelt\"><div class=\"FTWFGDB-k-b\"><div class=\"FTWFGDB-k-i\">From</div><div class=\"FTWFGDB-p-c FTWFGDB-k-c FTWFGDB-c-q\"><div class=\"FTWFGDB-p-a\"><div class=\"FTWFGDB-s-b\">New York <span class=\"FTWFGDB-s-a\">(all airports)</span></div></div><input class=\"FTWFGDB-t-g FTWFGDB-t-b\" type=\"text\"/></div><div class=\"FTWFGDB-k-i\">To</div><div class=\"FTWFGDB-p-c FTWFGDB-k-c FTWFGDB-c-q\"><div class=\"FTWFGDB-p-a\"><div class=\"FTWFGDB-s-b\">HND, NRT, TPE, HKG, KIX</div></div><input class=\"FTWFGDB-t-g FTWFGDB-t-b\" type=\"text\"/></div><div class=\"FTWFGDB-k-h\"><span class=\"gwt-InlineLabel\">Try: </span><span class=\"FTWFGDB-k-g\">Europe</span><span class=\"gwt-InlineHTML\">, </span><span class=\"FTWFGDB-k-g\">Mexico</span><span class=\"gwt-InlineHTML\">, </span><span class=\"FTWFGDB-k-g\">Caribbean</span></div><div class=\"FTWFGDB-k-i\">Trip length</div><div class=\"FTWFGDB-k-e\"><div class=\"FTWFGDB-m-b FTWFGDB-k-f\"><div class=\"FTWFGDB-m-g\"></div><div class=\"FTWFGDB-m-l\" style=\"left: 108px; width: 55px;\"></div><div class=\"FTWFGDB-m-e FTWFGDB-m-h FTWFGDB-m-f\" style=\"left: 96px;\"></div><div class=\"FTWFGDB-m-e FTWFGDB-m-h FTWFGDB-m-j\" style=\"left: 150px;\"></div></div><div class=\"FTWFGDB-k-d\">8-12 days</div></div><div class=\"FTWFGDB-k-a\"></div></div></div><div class=\"FTWFGDB-f-e\" elt=\"results\"><div class=\"\"><div class=\"FTWFGDB-h-a\">Lowest fares for trips of 8-12 days</div><div elt=\"results\"><div><div class=\"FTWFGDB-v-d\"><div class=\"FTWFGDB-v-b\"><img class=\"FTWFGDB-v-a\" src=\"//lh3.ggpht.com/ntoQBZngmB9d2SHWtfKxHR6IgXZ4RZRXkAs8LxLv5uHDy0KZkaFUReL3if4=w230-h182-n\"/><div class=\"FTWFGDB-v-i\">Photo: <a href=\"http://panoramio.com/photo/18759017\" target=\"_blank\">Panoramio</a></div></div><div class=\"FTWFGDB-v-m\"><div class=\"FTWFGDB-v-e\"><div act=\"cityName\" class=\"FTWFGDB-v-l FTWFGDB-c-b\">Best price <span class=\"FTWFGDB-v-k\">$610</span></div><div act=\"nonstop\" class=\"FTWFGDB-v-h\"></div><div><span act=\"cityName\" class=\"FTWFGDB-v-c\">Osaka, Japan</span></div></div><div elt=\"graph\"><div class=\"FTWFGDB-w-g\"><div class=\"FTWFGDB-w-p\"><div class=\"FTWFGDB-w-c\"><div class=\"FTWFGDB-w-d\">$1,195</div><div class=\"FTWFGDB-w-e\" style=\"top: 51.948782324880746px;\">$610</div></div><div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x\" style=\"left: 0px; height: 58.4867352916562px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 55.46703489831785px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-f FTWFGDB-w-M\" style=\"left: 12px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 55.64800401707256px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 55.46703489831785px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 55.64800401707256px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 55.46703489831785px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 55.64800401707256px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 55.64800401707256px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 55.46703489831785px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 54.051217675119254px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 56.26897648338773px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 84.42564231316429px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 95.99347225709265px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 97.28864340112143px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 99.08059251820237px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 98.21123106536112px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 93.9353920830195px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 97.28864340112143px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 99.08059251820237px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 99.08059251820237px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 89.5885848188133px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 98.97414009540547px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 91.80634362708176px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 104.56289229224203px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 101.5467403129969px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 106px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 99.08059251820237px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 91.80634362708176px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div><div class=\"FTWFGDB-w-r\" style=\"top: 51.948782324880746px;\"></div></div><div class=\"FTWFGDB-w-n\"><div class=\"FTWFGDB-w-s\" style=\"left: 50px;\"><div class=\"FTWFGDB-w-t\">March</div><div class=\"FTWFGDB-w-u\">April</div></div><div class=\"FTWFGDB-w-s\" style=\"left: 229px;\"><div class=\"FTWFGDB-w-u\">May</div></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-s\" style=\"display: none;\"></div><div class=\"FTWFGDB-w-A\"><div class=\"FTWFGDB-w-B\"></div></div><div class=\"FTWFGDB-w-C FTWFGDB-w-z\"><div class=\"FTWFGDB-w-D\"></div></div></div></div></div></div></div></div><div><div class=\"FTWFGDB-v-d\"><div class=\"FTWFGDB-v-b\"><img class=\"FTWFGDB-v-a\" src=\"https://lh4.googleusercontent.com/proxy/Ep8nIWZfFqYqFDsEWDUi7mSFv6i34rkPBqv6lMKHAMg13efCrmDEU-MHQWjO51x6YijsFTpov-nz7HieFtxRMhB5eXCB-YlNlOxIyDXsx7MnrcjZTPcmio8ra4MPIsXSN8awmTAVTPvX=w230-h182-n\"/><div class=\"FTWFGDB-v-i\">Photo: <a href=\"http://panoramio.com/photo/\" target=\"_blank\">Panoramio</a></div></div><div class=\"FTWFGDB-v-m\"><div class=\"FTWFGDB-v-e\"><div act=\"cityName\" class=\"FTWFGDB-v-l FTWFGDB-c-b\">Best price <span class=\"FTWFGDB-v-k\">$657</span></div><div act=\"nonstop\" class=\"FTWFGDB-v-h\">Nonstop $719</div><div><span act=\"cityName\" class=\"FTWFGDB-v-c\">Taipei, Taiwan</span></div></div><div elt=\"graph\"><div class=\"FTWFGDB-w-g\"><div class=\"FTWFGDB-w-p\"><div class=\"FTWFGDB-w-c\"><div class=\"FTWFGDB-w-d\">$832</div><div class=\"FTWFGDB-w-e\" style=\"top: 22.3063973063973px;\">$657</div></div><div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 93.6448051948052px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 93.63588263588264px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 94.24771524771525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 91.57094757094758px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 100.36604136604136px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 91.57094757094758px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 92.41221741221742px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 97.3068783068783px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 94.24771524771525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 93.63588263588264px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 94.24771524771525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 83.6936026936027px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 87.26262626262626px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 96.05772005772006px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 91.44348244348245px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 91.44348244348245px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 94.24771524771525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 100.36604136604136px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 100.36604136604136px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 96.05772005772006px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 91.06108706108706px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 97.3068783068783px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 94.24771524771525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 97.3068783068783px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 98.37758537758538px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 97.3068783068783px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 92.13179413179412px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 96.05772005772006px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 96.05772005772006px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 92.13179413179412px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 98.37758537758538px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 101.30928330928332px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 101.30928330928332px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 98.12265512265512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 101.30928330928332px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 104.21548821548821px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 104.95478595478595px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 104.4959114959115px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 104.4959114959115px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 106px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 104.95478595478595px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div><div class=\"FTWFGDB-w-r\" style=\"top: 22.3063973063973px;\"></div></div><div class=\"FTWFGDB-w-n\"><div class=\"FTWFGDB-w-s\" style=\"left: 50px;\"><div class=\"FTWFGDB-w-t\">March</div><div class=\"FTWFGDB-w-u\">April</div></div><div class=\"FTWFGDB-w-s\" style=\"left: 229px;\"><div class=\"FTWFGDB-w-u\">May</div></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-s\" style=\"display: none;\"></div><div class=\"FTWFGDB-w-A\"><div class=\"FTWFGDB-w-B\"></div></div><div class=\"FTWFGDB-w-C FTWFGDB-w-z\"><div class=\"FTWFGDB-w-D\"></div></div></div></div></div></div></div></div><div><div class=\"FTWFGDB-v-d\"><div class=\"FTWFGDB-v-b\"><img class=\"FTWFGDB-v-a\" src=\"https://lh4.googleusercontent.com/proxy/R1rV7_xlcDws6QF45B90QVmkCRtcM6jMGFL0gdmwkhcPOLfRZNP9kmZipeFVwuiKiV-sUdrJtiHPsLAZSzTYCRu0sja8iKA8fwDm9ThB3QLpMCPo3C1W9ANqQEhX8HuP4D7cAs59Yy8R=w230-h182-n\"/><div class=\"FTWFGDB-v-i\">Photo: <a href=\"http://panoramio.com/photo/\" target=\"_blank\">Panoramio</a></div></div><div class=\"FTWFGDB-v-m\"><div class=\"FTWFGDB-v-e\"><div act=\"cityName\" class=\"FTWFGDB-v-l FTWFGDB-c-b\">Best price <span class=\"FTWFGDB-v-k\">$663</span></div><div act=\"nonstop\" class=\"FTWFGDB-v-h\">Nonstop $664</div><div><span act=\"cityName\" class=\"FTWFGDB-v-c\">Hong Kong, Hong Kong</span></div></div><div elt=\"graph\"><div class=\"FTWFGDB-w-g\"><div class=\"FTWFGDB-w-p\"><div class=\"FTWFGDB-w-c\"><div class=\"FTWFGDB-w-d\">$852</div><div class=\"FTWFGDB-w-e\" style=\"top: 23.541730250029346px;\">$663</div></div><div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 82.45826974997065px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 84.69796924521657px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 82.53292639981218px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 84.12560159643151px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 87.53492193919475px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 90.3967601831201px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 87.53492193919475px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 93.5074539265172px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 90.64561568259185px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 87.53492193919475px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 87.53492193919475px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 93.5074539265172px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 90.64561568259185px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 90.64561568259185px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 90.64561568259185px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 87.0372109402512px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 103.21281840591618px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 103.21281840591618px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 100.35098016199085px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 100.35098016199085px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 100.35098016199085px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 100.35098016199085px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 103.21281840591618px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 103.21281840591618px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 103.21281840591618px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 105.66404507571312px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div><div class=\"FTWFGDB-w-r\" style=\"top: 23.541730250029346px;\"></div></div><div class=\"FTWFGDB-w-n\"><div class=\"FTWFGDB-w-s\" style=\"left: 50px;\"><div class=\"FTWFGDB-w-t\">March</div><div class=\"FTWFGDB-w-u\">April</div></div><div class=\"FTWFGDB-w-s\" style=\"left: 229px;\"><div class=\"FTWFGDB-w-u\">May</div></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-s\" style=\"display: none;\"></div><div class=\"FTWFGDB-w-A\"><div class=\"FTWFGDB-w-B\"></div></div><div class=\"FTWFGDB-w-C FTWFGDB-w-z\"><div class=\"FTWFGDB-w-D\"></div></div></div></div></div></div></div></div><div><div class=\"FTWFGDB-v-d\"><div class=\"FTWFGDB-v-b\"><img class=\"FTWFGDB-v-a\" src=\"https://lh4.googleusercontent.com/proxy/Wn-f871G5-UhKp_JAFHwB8j27DYbuMaUIX8_O_-Tx3IEaiRTiypnUv7ulqxyUF2wypez43IGVDrkkCoFcLF5cCXpsKmCcFgBJQ8y0Etx2Y89QJRuquJiFAiiS6MmXS53TXAJO3-Bs2Mx=w230-h182-n\"/><div class=\"FTWFGDB-v-i\">Photo: <a href=\"http://panoramio.com/photo/\" target=\"_blank\">Panoramio</a></div></div><div class=\"FTWFGDB-v-m\"><div class=\"FTWFGDB-v-e\"><div act=\"cityName\" class=\"FTWFGDB-v-l FTWFGDB-c-b\">Best price <span class=\"FTWFGDB-v-k\">$678</span></div><div act=\"nonstop\" class=\"FTWFGDB-v-h\">Nonstop $2,067</div><div><span act=\"cityName\" class=\"FTWFGDB-v-c\">Tokyo, Japan</span></div></div><div elt=\"graph\"><div class=\"FTWFGDB-w-g\"><div class=\"FTWFGDB-w-p\"><div class=\"FTWFGDB-w-c\"><div class=\"FTWFGDB-w-d\">$1,192</div><div class=\"FTWFGDB-w-e\" style=\"top: 45.73107268759442px;\">$678</div></div><div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 74.9491354708746px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 75.48296122209166px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 65.07335907335907px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 87.09367131106261px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 66.4524089306698px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 70.17139499748195px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 65.11784455262716px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 70.17139499748195px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 87.09367131106261px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 87.09367131106261px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 94.63840859493034px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 92.94796038274299px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 87.96558670471714px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 92.94796038274299px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 92.94796038274299px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 86.27513849252979px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 99.06026523417827px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 91.76464663421184px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 104.55867047171395px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 105.80426389122042px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 106px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 99.06026523417827px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 91.76464663421184px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div><div class=\"FTWFGDB-w-r\" style=\"top: 45.73107268759442px;\"></div></div><div class=\"FTWFGDB-w-n\"><div class=\"FTWFGDB-w-s\" style=\"left: 50px;\"><div class=\"FTWFGDB-w-t\">March</div><div class=\"FTWFGDB-w-u\">April</div></div><div class=\"FTWFGDB-w-s\" style=\"left: 229px;\"><div class=\"FTWFGDB-w-u\">May</div></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-s\" style=\"display: none;\"></div><div class=\"FTWFGDB-w-A\"><div class=\"FTWFGDB-w-B\"></div></div><div class=\"FTWFGDB-w-C FTWFGDB-w-z\"><div class=\"FTWFGDB-w-D\"></div></div></div></div></div></div></div></div></div></div></div></div><div class=\"FTWFGDB-l-b\"><div aria-hidden=\"true\" style=\"display: none;\"><div class=\"FTWFGDB-l-e FTWFGDB-l-c\">Displayed currencies may differ from the currencies used to purchase flights. – <a class=\"FTWFGDB-l-f\" href=\"https://www.google.com/intl/en/help/currency_disclaimer.html\">Disclaimer</a></div></div><div class=\"FTWFGDB-l-d\"><a class=\"FTWFGDB-l-f FTWFGDB-l-e\" href=\"https://www.google.com/intl/en/policies/\">Privacy &amp; Terms</a><a class=\"FTWFGDB-l-f FTWFGDB-l-e\" href=\"https://support.google.com/flights/answer/2475306?hl=en\">About Flights</a></div></div></div><iframe id=\"deals\" src='javascript:\"\"' style=\"position: absolute; width: 0px; height: 0px; border: none; left: -1000px; top: -1000px;\" tabindex=\"-1\"></iframe></body></html>"
      ]
     },
     "execution_count": 393,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_price_tags = s.findAll('div', 'FTWFGDB-w-e') \n",
    "best_prices = []\n",
    "for tag in best_price_tags:\n",
    "    best_prices.append(int(tag.text.replace('$','')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<div class=\"FTWFGDB-w-e\" style=\"top: 51.948782324880746px;\">$610</div>,\n",
       " <div class=\"FTWFGDB-w-e\" style=\"top: 22.3063973063973px;\">$657</div>,\n",
       " <div class=\"FTWFGDB-w-e\" style=\"top: 23.541730250029346px;\">$663</div>,\n",
       " <div class=\"FTWFGDB-w-e\" style=\"top: 45.73107268759442px;\">$678</div>]"
      ]
     },
     "execution_count": 395,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_price_tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "656"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_price = best_prices[0]\n",
    "best_price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_height_tags = s.findAll('div', 'FTWFGDB-w-f')\n",
    "best_heights = []\n",
    "for t in best_height_tags:\n",
    "    best_heights.append(float(t.attrs['style']\\\n",
    "                              .split('height:')[1].replace('px;','')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70.67025927808845"
      ]
     },
     "execution_count": 371,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_height = best_heights[0]\n",
    "best_height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.2825469539970253"
      ]
     },
     "execution_count": 372,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pph = np.array(best_price)/np.array(best_height)\n",
    "pph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 70.67025927808845px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 78.30096593797661px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 78.30096593797661px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 75.82206405693951px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 80.99542450432129px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 79.8314184036604px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 75.82206405693951px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 75.82206405693951px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 80.99542450432129px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 80.99542450432129px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 78.51652262328419px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 78.51652262328419px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 75.39095068632435px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 86.92323335027962px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 86.92323335027962px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 86.92323335027962px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 89.40213523131672px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 106px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div>,\n",
       " <div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 88.65553278688525px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 88.64708561020036px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 87.48861566484517px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 86.69216757741347px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 93.40163934426229px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 86.69216757741347px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 87.48861566484517px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 87.48861566484517px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 92.12249544626594px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 79.23451730418944px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 79.59653916211293px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 90.93989071038251px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 86.57149362477232px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 86.57149362477232px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 95.01867030965393px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 94.77732240437159px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 105.39663023679417px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 90.93989071038251px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 86.20947176684882px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 93.13615664845173px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 93.13615664845173px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 93.13615664845173px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 87.22313296903461px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 93.13615664845173px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 95.91165755919855px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 95.91165755919855px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 92.89480874316939px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 92.89480874316939px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 92.89480874316939px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 95.91165755919855px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 98.92850637522768px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 106px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 100.35245901639344px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 99.36293260473587px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div>,\n",
       " <div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 66.4524089306698px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 65.07335907335907px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 80.42974651670305px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 70.18029209333557px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 60.26892731240558px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 65.12674164848079px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 87.1381567903307px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 87.1381567903307px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 91.76464663421184px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 84.362262884002px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 94.64730569078395px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 94.64730569078395px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 87.97448380057075px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 92.95685747859662px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 92.95685747859662px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 86.28403558838342px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 99.06026523417827px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 89.54037267080746px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 104.61205304683565px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 105.80426389122042px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 106px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 93.89994963908008px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 91.76464663421184px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div>,\n",
       " <div class=\"FTWFGDB-w-o FTWFGDB-w-b\"><div class=\"FTWFGDB-w-x FTWFGDB-w-f\" style=\"left: 0px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 6px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 12px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 18px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 24px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 30px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 36px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 42px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 48px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 54px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 60px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 66px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 72px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 78px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 84px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 90px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 96px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 102px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 108px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 114px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 120px; height: 75.04267782426778px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 126px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 132px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 138px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 144px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 150px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 156px; height: 60.406694560669465px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 162px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 168px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 174px; height: 73.35732217573222px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 180px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 186px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 192px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 198px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 204px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 210px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 216px; height: 91.80753138075313px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 222px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 228px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 234px; height: 84.42744769874477px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 240px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 246px; height: 95.97656903765692px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 252px; height: 97.28937238493724px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 258px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 264px; height: 97.28937238493724px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 270px; height: 93.93640167364016px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 276px; height: 93.93640167364016px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 282px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 288px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 294px; height: 97.28937238493724px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 300px; height: 99.08117154811715px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 306px; height: 99.08117154811715px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 312px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 318px; height: 98.9747280334728px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 324px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 330px; height: 104.56301255230125px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 336px; height: 101.5471129707113px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 342px; height: 106px;\"></div><div class=\"FTWFGDB-w-x FTWFGDB-w-M\" style=\"left: 348px; height: 93.93640167364016px;\"></div><div class=\"FTWFGDB-w-x\" style=\"left: 354px; height: 89.58995815899581px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 11px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 53px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 95px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 137px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 179px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 221px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 263px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 305px;\"></div><div class=\"FTWFGDB-w-L\" style=\"left: 347px;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-J\" style=\"display: none;\"></div><div aria-hidden=\"true\" class=\"FTWFGDB-w-K\" style=\"display: none;\"></div></div>]"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities = s.findAll('div', 'FTWFGDB-w-o')\n",
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 374,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {},
   "outputs": [],
   "source": [
    "hlist=[]\n",
    "for bar in cities[0]\\\n",
    "    .findAll('div', 'FTWFGDB-w-x'):\n",
    "    hlist.append(float(bar['style']\\\n",
    "                       .split('height: ')[1].replace('px;',''))*pph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {},
   "outputs": [],
   "source": [
    "fares = pd.DataFrame(hlist, columns=['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price    656\n",
       "dtype: float64"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fares.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>726.832393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>726.832393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>703.821870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>751.843831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>741.038890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>703.821870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>703.821870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>751.843831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>751.843831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>728.833308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>728.833308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>699.820040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>806.868995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>806.868995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>806.868995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>829.879518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>983.949977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         price\n",
       "0   656.000000\n",
       "1   656.000000\n",
       "2   656.000000\n",
       "3   656.000000\n",
       "4   656.000000\n",
       "5   656.000000\n",
       "6   656.000000\n",
       "7   656.000000\n",
       "8   656.000000\n",
       "9   656.000000\n",
       "10  656.000000\n",
       "11  656.000000\n",
       "12  656.000000\n",
       "13  656.000000\n",
       "14  656.000000\n",
       "15  656.000000\n",
       "16  656.000000\n",
       "17  656.000000\n",
       "18  656.000000\n",
       "19  656.000000\n",
       "20  656.000000\n",
       "21  656.000000\n",
       "22  656.000000\n",
       "23  656.000000\n",
       "24  656.000000\n",
       "25  656.000000\n",
       "26  656.000000\n",
       "27  656.000000\n",
       "28  656.000000\n",
       "29  656.000000\n",
       "30  699.820040\n",
       "31  726.832393\n",
       "32  699.820040\n",
       "33  726.832393\n",
       "34  703.821870\n",
       "35  699.820040\n",
       "36  751.843831\n",
       "37  699.820040\n",
       "38  741.038890\n",
       "39  699.820040\n",
       "40  703.821870\n",
       "41  703.821870\n",
       "42  699.820040\n",
       "43  751.843831\n",
       "44  699.820040\n",
       "45  751.843831\n",
       "46  699.820040\n",
       "47  728.833308\n",
       "48  728.833308\n",
       "49  699.820040\n",
       "50  829.879518\n",
       "51  829.879518\n",
       "52  829.879518\n",
       "53  806.868995\n",
       "54  806.868995\n",
       "55  806.868995\n",
       "56  829.879518\n",
       "57  829.879518\n",
       "58  829.879518\n",
       "59  983.949977"
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price    677.91002\n",
       "dtype: float64"
      ]
     },
     "execution_count": 380,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fares.median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>706.359697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>69.459200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>677.910020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>728.833308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>983.949977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            price\n",
       "count   60.000000\n",
       "mean   706.359697\n",
       "std     69.459200\n",
       "min    656.000000\n",
       "25%    656.000000\n",
       "50%    677.910020\n",
       "75%    728.833308\n",
       "max    983.949977"
      ]
     },
     "execution_count": 381,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fares.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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qaf5O4+LiPRu+NkjaOQdgKM5NGgXeBSlJkjQEXAlf0kgbhRXM2z2HYTg3aVw5BClp5I3C\nCubtnMOwnJs07JwDJkmSVJhzwCRJkoaAAUySJKkwA5gkSVJhBjBJkqTCDGCSJEmFGcAkSZIKM4BJ\nkiQVZgCTJEkqzAAmSZJUmAFMkiSpMAOYJElSYQYwSZKkwgxgkiRJhRnAJEmSCjOASSOk0WhQr09T\nr0/TaDT63RxJ0jo6CmARcUtEfK163FyVXRgRixHxcEQ0IuKClv33RsSJiHgoIuqdNl7SjzUaDXbt\nmmFpaSdLSzvZtWvGECZJA6rtABYRrwZuAP4B8Drgn0TELwK3Avdl5quAzwJ7q/2vAK4DtgNXAx+J\niOis+ZJOm5s7yMrKAWAGmGFl5QBzcwf73SxJ0ho6uQK2HfhiZv4gM38I/DmwG9gJzFf7zAPXVs93\nAndl5rOZ+ShwAtjRwfElSZKGUicB7OvAr1RDjs8H3g5cCmzNzFMAmfkk8JJq/0uAx1vqn6zKJHXB\n7OyNTEzsofn/nnkmJvYwO3tjv5slSVrDlnYrZuY3IuIAsAR8H3gA+OFau7bz/vv373/uea1Wo1ar\ntfM20tiYmpri8OH554YdZ2fnmZqa6nOrJGn0LC8vs7y83NF7RGZb+ejMN4r4fZpXuG4Bapl5KiIu\nBj6Xmdsj4lYgM/NAtf8CsC8zv7jGe2W32iVJktRLEUFmbmpee6d3Qf5c9edLgV3AncAR4J3VLjPA\np6rnR4DrI+L8iHg5cBlwfyfHlyRJGkZtD0FW7omIFwHPADdl5t9Ww5J3R8S7gMdo3vlIZh6PiLuB\n4y37e5lLkiSNna4NQXaTQ5CSJGlYFB+ClCRJ0uYZwCRJkgozgEmSJBVmAJMkSSrMACZJklSYAUyS\nJKkwA5gkSVJhBjBJkqTCDGCSJEmFGcAkSZIKM4BJkiQVZgCTJEkqzAAmSZJUmAFMkiSpMAOYJElS\nYQYwSZKkwgxgkiRJhRnAJEmSCjOASZIkFWYAkyRJKswAJkmSVJgBTJIkqTADmCRJUmEGMEmSpMIM\nYJIkSYUZwCRJkgozgEmSJBVmAJMkSSrMACZJklSYAUySJKkwA5gkSVJhBjBJkqTCDGCSJEmFGcAk\nSZIKM4BJkiQVZgCTJEkqzAAmSZJUmAFMkiSpsI4CWET824j4ekQ8GBF3RMT5EXFhRCxGxMMR0YiI\nC1r23xsRJyLioYiod958SZKk4ROZ2V7FiJ8HjgK/lJn/LyL+BLgXuAL4TmZ+ICL2ABdm5q0RcQVw\nB/BGYBtwH/DKXKMBEbFWsSRJ0sCJCDIzNlOn0yHInwJeEBFbgAngJHANMF+9Pg9cWz3fCdyVmc9m\n5qPACWBHh8eXJEkaOm0HsMz8X8Ac8E2awevpzLwP2JqZp6p9ngReUlW5BHi85S1OVmWSJEljpe0A\nFhF/n+bVrl8Afp7mlbB/CqweO3QsUZIkqcWWDuq+FfjrzHwKICIOA/8IOBURWzPzVERcDHyr2v8k\ncGlL/W1V2Zr279//3PNarUatVuugqZIkSd2xvLzM8vJyR+/RyST8HcBtNCfV/wC4HTgGvBR4KjMP\nrDMJ/yqaQ49LOAlfkiQNuaKT8DPzfuBPgQeArwIBHAQOAJMR8TDw68D7q/2PA3cDx2neLXmTKUsa\nDI1Gg3p9mnp9mkaj0e/mSNLIa/sKWC95BUwqp9FosGvXDCsrBwCYmNjD4cPzTE1N9bllkjQc2rkC\nZgCTxly9Ps3S0k5gpiqZZ3LyCIuL9/SzWZI0NPqxDpgkSZI2qZO7ICWNgNnZGzl6dIaVleb2xMQe\nZmfnN64kSeqIQ5CSaDQazM0dBJqBzPlfknTunAMmSZJUmHPAJEmShoABTJIkqTADmCRJUmEGMEmS\npMIMYJIkSYUZwCRJkgozgEmSJBVmAJMkSSrMACZJklSYAUySJKkwA5gkSVJhBjBJkqTCDGCSJEmF\nGcCkDjUaDer1aer1aRqNRr+bI0kaApGZ/W7DGSIiB7Fd0mqNRoNdu2ZYWTkAwMTEHg4fnmdqaqrP\nLZMklRIRZGZsqs4gBh0DmIZFvT7N0tJOYKYqmWdy8giLi/f0s1mSpILaCWAOQUqSJBW2pd8NkIbZ\n7OyNHD06w8pKc3tiYg+zs/P9bZQkaeA5BCl1qNFoMDd3EGgGMud/SdJ4cQ6YJElSYc4B0znpxbIJ\n7b5nL+qVfq1dpY/XC704h9L1JKkvMnPgHs1mqRcWFhZyYmJrwqGEQzkxsTUXFhb68p69qFf6tXNp\n6+Tk7pyc3P0TdXp1vJJ6cQ6l60lSN1S5ZXNZZ7MVSjwMYL0zObm7+pLK6nEoJyd39+U9e1Gv9Gsb\n2SgU9OJ4pfXiHErXk6RuaCeAeRek1CNzcwerBVqba4StrDTLnKQvSer71a61HngFrGccgiw3BLnR\nVRmHIDf/nr2oJ0ndgEOQOhfrzUvqx3v2ol7p1zZq40ahoNvH64denEPpepLUqXYCmMtQSD3kGmGS\nNPpcB0ySJKkw1wGTJEkaAgYwSZKkwgxgkiRJhRnAJEmSCjOASZIkFWYAkyRJKqztABYRl0fEAxHx\n5erPpyPi5oi4MCIWI+LhiGhExAUtdfZGxImIeCgi6t05BUmSpOHSlXXAIuI84AngKuB3ge9k5gci\nYg9wYWbeGhFXAHcAbwS2AfcBr1xrwS/XAZMkScOin+uAvRX4q8x8HLgGmK/K54Frq+c7gbsy89nM\nfBQ4Aezo0vElSZKGRrcC2G8Bd1bPt2bmKYDMfBJ4SVV+CfB4S52TVZkkSdJY6TiARcRP07y69Ymq\naPXYoWOJkiRJLbZ04T2uBr6Umd+utk9FxNbMPBURFwPfqspPApe21NtWla1p//79zz2v1WrUarUu\nNFWSJKkzy8vLLC8vd/QeHU/Cj4iPAwuZOV9tHwCeyswD60zCv4rm0OMSTsKXJElDrp1J+B0FsIh4\nPvAY8IrM/Luq7EXA3TSvdj0GXJeZ36te2wvcADwD3JKZi+u8rwFMkiQNheIBrFcMYJIkaVj0cxkK\nSZIknSMDmCRJUmEGMEmSpMIMYAOu0WhQr09Tr0/TaDS68lovjtfue/ai3qgbhb+HQWqLJPVFZg7c\no9ksLSws5MTE1oRDCYdyYmJrLiwsdPRaL47X7nv2ot6oG4W/h0FqiyR1Q5VbNpd1NluhxMMA1jQ5\nubv6ssnqcSgnJ3d39Fovjtfue/ai3qgbhb+HQWqLJHVDOwHMIUhJkqTSNpvYSjzwClhmOgTpcNOZ\nRuHvYZDaIkndgEOQo2dhYSEnJ3fn5OTuM75s2n2tF8dr9z17UW/UjcLfwyC1RZI61U4AcyV8SZKk\nDrgSviRJ0hAwgEmSJBVmAJMkSSrMACZJklSYAUySJKkwA5gkSVJhBjBJkqTCDGCSJEmFGcAkSZIK\nM4BJkiQVZgCTJEkqzAAmSZJUmAFMkiSpMAOYJElSYQYwSZKkwgxgkiRJhRnAJEmSCjOASZIkFWYA\nkyRJKswAJkmSVJgBTJIkqTADmCRJUmEGMEmSpMIMYJIkSYUZwCRJkgozgEmSJBVmAJMkSSrMACZJ\nklSYAUySJKmwjgJYRFwQEZ+IiIci4i8j4qqIuDAiFiPi4YhoRMQFLfvvjYgT1f71zpsvSZI0fDq9\nAvYh4N7M3A68FvgGcCtwX2a+CvgssBcgIq4ArgO2A1cDH4mI6PD4Y2N5ebnfTRhI9sva7Je12S9n\nsk/WZr+szX7pnrYDWET8LPArmXk7QGY+m5lPA9cA89Vu88C11fOdwF3Vfo8CJ4Ad7R5/3PihX5v9\nsjb7ZW32y5nsk7XZL2uzX7qnkytgLwe+HRG3R8SXI+JgRDwf2JqZpwAy80ngJdX+lwCPt9Q/WZVJ\nkiSNlU4C2BbgSuC/ZeaVwP+hOfyYq/ZbvS1JkjTWIrO9fBQRW4HPZ+Yrqu030wxgvwjUMvNURFwM\nfC4zt0fErUBm5oFq/wVgX2Z+cY33NrRJkqShkZmbmtfedgADiIg/A/5lZj4SEfuA51cvPZWZByJi\nD3BhZt5aTcK/A7iK5tDjEvDK7KQBkiRJQ2hLh/VvBu6IiJ8G/hr458BPAXdHxLuAx2je+UhmHo+I\nu4HjwDPATYYvSZI0jjq6AiZJkqTNG5iV8CPiNyPi6xHxw4i4ctVrY72Aa0S8LSK+ERGPVMO6Yyki\nbouIUxHxYEvZugv/joOI2BYRn60WQv5aRNxclY97v/xMRHwxIh6o+mVfVT7W/XJaRJxX3b1+pNoe\n+36JiEcj4qvVZ+b+qmys+2Wzi62Pg4i4vPqMfLn68+mIuLmdfhmYAAZ8DdgF/FlrYURsZ4wXcI2I\n84D/CkwBrwZ+OyJ+qb+t6pvbafZDqzUX/h0jzwL/LjNfDfxD4N3V52Os+yUzfwD8ama+HngdcHVE\n7GDM+6XFLTSng5xmv8CPaN5A9vrMPL1G5bj3yzkvtj4uMvOR6jNyJfAGmitAHKaNfhmYAJaZD2fm\nCWB1uLqG8V7AdQdwIjMfy8xngLto9snYycyjwHdXFa+38O9YyMwnM/Mr1fPvAw8B2xjzfgHIzP9b\nPf0ZmvNdE/uFiNgGvB34o5bise8Xmt89q78Tx7Zf2lhsfRy9FfirzHycNvplYALYBsZ9AdfV5/8E\n43X+Z/OSdRb+HTsR8TKaV3u+wPoLIo+NapjtAeBJYCkzj2G/APwB8B/4yTUa7ZdmfyxFxLGI+BdV\n2Tj3y2YXWx9HvwXcWT3fdL90ehfkpkTEErC1tYjmh/73MvPTJduikTWWd5VExN8D/hS4JTO/v8Za\nemPXL5n5I+D11f/kD0fEqxnzhaIj4jeAU5n5lYiobbDrWPVL5U2Z+TcR8XPAYkQ8zHh/Xk4vtv7u\nzPyLiPgDXGz9OdXqDzuB0/OyN90vRQNYZk62Ue0kcGnL9raqbFycBF7asj1u5382pyJia8vCv9/q\nd4NKi4gtNMPXH2fmp6rise+X0zLzbyNiGXgb9subgJ0R8XZgAnhhRPwx8OSY9wuZ+TfVn/87Ij5J\nc/rHOH9engAez8y/qLbvoRnAxrlPWl0NfCkzv11tb7pfBnUIsnUe2BHg+og4PyJeDlwG3N+fZvXF\nMeCyiPiFiDgfuJ5mn4yr4MzPxzur5zPAp1ZXGAP/AziemR9qKRvrfomIF5++CykiJoBJmvPjxrpf\nMvM9mfnS6hdMrgc+m5n/DPg0Y9wvEfH86ioyEfECoE7zxrCx/bxUw2mPR8TlVdGvA3/JGPfJKr8N\nfLxle9P9MjDrgEXEtcCHgRcD3wO+kplXV6/tBW6guYDrLZm52LeG9kFEvI3m3SjnAbdl5vv73KS+\niIg7gRpwEXAK2Ad8EvgEzaukjwHXZeb3+tXG0iLiTcCf0/yyyOrxHpr/Sbmb8e2X19CcCHte9fiT\nzPz9iHgRY9wvrSLiLcBsZu4c936p/nN/mOa/ny3AHZn5fvslXkvzZo0zFltnTPsEmoGd5rm/IjP/\nrirb9GdlYAKYJEnSuBjUIUhJkqSRZQCTJEkqzAAmSZJUmAFMkiSpMAOYJElSYQYwSZKkwgxgkiRJ\nhRnAJEmSCvv/UAw6G/T8KyYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114232908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,6))\n",
    "plt.scatter(np.arange(len(fares['price'])),fares['price']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import DBSCAN\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [],
   "source": [
    "px = [x for x in fares['price']]\n",
    "ff = pd.DataFrame(px, columns=['fare']).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/alexcombs/anaconda/envs/py35/lib/python3.5/site-packages/matplotlib/lines.py:1107: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._markerfacecolor != fc:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x115e4d780>"
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZBGgAQGhhlzM70rtf8zsuCd0vy55Vt2XLl6p13mENnuwp2nbwZI/a5h3RjcuW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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10321bd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = StandardScaler().fit_transform(ff)\n",
    "db = DBSCAN(eps=.5, min_samples=1).fit(X)\n",
    "\n",
    "labels = db.labels_\n",
    "clusters = len(set(labels))\n",
    "unique_labels = set(labels)\n",
    "colors = plt.cm.Spectral(np.linspace(0,\n",
    "                        1, len(unique_labels)))\n",
    "\n",
    "plt.subplots(figsize=(12,8))\n",
    "\n",
    "for k, c in zip(unique_labels, colors):\n",
    "    class_member_mask = (labels == k)\n",
    "    xy = X[class_member_mask]\n",
    "    plt.plot(xy[:, 0], xy[:, 1], 'o',\n",
    "             markerfacecolor=c,\n",
    "             markeredgecolor='k',\n",
    "             markersize=14)\n",
    "\n",
    "plt.title(\"Total Clusters: {}\".format(clusters),\n",
    "          fontsize=14, y=1.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def test_clusters(data_series, eps_val, swap_index, swap_value):\n",
    "    data_series[swap_index] = swap_value\n",
    "    ff = pd.DataFrame(data_series, columns=['fare']).reset_index()\n",
    "    X = StandardScaler().fit_transform(ff)\n",
    "    db = DBSCAN(eps=eps_val, min_samples=1).fit(X)\n",
    "\n",
    "    labels = db.labels_\n",
    "    clusters = len(set(labels))\n",
    "    unique_labels = set(labels)\n",
    "    colors = plt.cm.Spectral(np.linspace(0,\n",
    "                            1, len(unique_labels)))\n",
    "\n",
    "    plt.subplots(figsize=(12,8))\n",
    "\n",
    "    for k, c in zip(unique_labels, colors):\n",
    "        class_member_mask = (labels == k)\n",
    "        xy = X[class_member_mask]\n",
    "        plt.plot(xy[:, 0], xy[:, 1], 'o',\n",
    "                 markerfacecolor=c,\n",
    "                 markeredgecolor='k',\n",
    "                 markersize=14)\n",
    "\n",
    "    plt.title(\"Total Clusters: {}\".format(clusters),\n",
    "              fontsize=14, y=1.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "px = [x for x in fares['price']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1176.8414526129318"
      ]
     },
     "execution_count": 321,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "px[55]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/alexcombs/anaconda/envs/py35/lib/python3.5/site-packages/matplotlib/lines.py:1107: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._markerfacecolor != fc:\n"
     ]
    },
    {
     "data": {
      "image/png": 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Kt8zz2loLqwRoAABQyzKZjDYPrNPiJ8+pU21F245qQieW9WjHkX2cia4x5QRo3kkAAIAQ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1152d2eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_clusters(px, 1.5, 55, 700)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "700"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "px[55]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {},
   "outputs": [],
   "source": [
    "px[55] = 625"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ff = pd.DataFrame(px, columns=['fare']).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/alexcombs/anaconda/envs/py35/lib/python3.5/site-packages/matplotlib/lines.py:1107: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._markerfacecolor != fc:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x113c91dd8>"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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X7Wn9gtY1cGCX9u/aowMD29V6dEQdp89l282brcmFXVq++Q+mzjzv/fKuov3d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113c63320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = StandardScaler().fit_transform(ff)\n",
    "db = DBSCAN(eps=1.5, min_samples=1).fit(X)\n",
    "\n",
    "labels = db.labels_\n",
    "clusters = len(set(labels))\n",
    "unique_labels = set(labels)\n",
    "colors = plt.cm.Spectral(np.linspace(0,\n",
    "                        1, len(unique_labels)))\n",
    "\n",
    "plt.subplots(figsize=(12,8))\n",
    "\n",
    "for k, c in zip(unique_labels, colors):\n",
    "    class_member_mask = (labels == k)\n",
    "    xy = X[class_member_mask]\n",
    "    plt.plot(xy[:, 0], xy[:, 1], 'o',\n",
    "             markerfacecolor=c,\n",
    "             markeredgecolor='k',\n",
    "             markersize=14)\n",
    "\n",
    "plt.title(\"Total Clusters: {}\".format(clusters),\n",
    "          fontsize=14, y=1.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>fare</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>747.561559</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>732.047830</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>904.800709</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>789.498671</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>732.648361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>949.039858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>949.039858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>980.267493</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>980.267493</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>1007.291408</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>1032.313552</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>949.039858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>949.039858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>949.039858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>1007.291408</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>41</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>1064.742250</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>1007.291408</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>1064.742250</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>45</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>46</td>\n",
       "      <td>989.675819</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>48</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>49</td>\n",
       "      <td>1045.725421</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>1045.725421</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>51</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>970.658990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>1114.386182</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>54</td>\n",
       "      <td>1007.291408</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>56</td>\n",
       "      <td>1190.253322</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>1192.455270</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>58</td>\n",
       "      <td>1056.334810</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>59</td>\n",
       "      <td>1032.313552</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index         fare  cluster\n",
       "0       0   678.000000        0\n",
       "1       1   678.000000        0\n",
       "2       2   678.000000        0\n",
       "3       3   732.648361        0\n",
       "4       4   678.000000        0\n",
       "5       5   678.000000        0\n",
       "6       6   732.648361        0\n",
       "7       7   678.000000        0\n",
       "8       8   732.648361        0\n",
       "9       9   678.000000        0\n",
       "10     10   732.648361        0\n",
       "11     11   732.648361        0\n",
       "12     12   732.648361        0\n",
       "13     13   732.648361        0\n",
       "14     14   732.648361        0\n",
       "15     15   747.561559        0\n",
       "16     16   732.047830        0\n",
       "17     17   732.648361        0\n",
       "18     18   732.648361        0\n",
       "19     19   678.000000        0\n",
       "20     20   904.800709        0\n",
       "21     21   678.000000        0\n",
       "22     22   789.498671        0\n",
       "23     23   678.000000        0\n",
       "24     24   732.648361        0\n",
       "25     25   732.648361        0\n",
       "26     26   678.000000        0\n",
       "27     27   732.648361        0\n",
       "28     28   678.000000        0\n",
       "29     29   732.648361        0\n",
       "30     30   949.039858        0\n",
       "31     31   949.039858        0\n",
       "32     32   970.658990        0\n",
       "33     33   980.267493        0\n",
       "34     34   980.267493        0\n",
       "35     35  1007.291408        0\n",
       "36     36  1032.313552        0\n",
       "37     37   949.039858        0\n",
       "38     38   949.039858        0\n",
       "39     39   949.039858        0\n",
       "40     40  1007.291408        0\n",
       "41     41   970.658990        0\n",
       "42     42  1064.742250        0\n",
       "43     43  1007.291408        0\n",
       "44     44  1064.742250        0\n",
       "45     45   970.658990        0\n",
       "46     46   989.675819        0\n",
       "47     47   970.658990        0\n",
       "48     48   970.658990        0\n",
       "49     49  1045.725421        0\n",
       "50     50  1045.725421        0\n",
       "51     51   970.658990        0\n",
       "52     52   970.658990        0\n",
       "53     53  1114.386182        0\n",
       "54     54  1007.291408        0\n",
       "55     55   700.000000        1\n",
       "56     56  1190.253322        0\n",
       "57     57  1192.455270        0\n",
       "58     58  1056.334810        0\n",
       "59     59  1032.313552        0"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pf = pd.concat([ff,pd.DataFrame(db.labels_,\n",
    "                                columns=['cluster'])], axis=1)\n",
    "pf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cluster</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>678</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>700</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         min  count\n",
       "cluster            \n",
       "0        678     59\n",
       "1        700      1"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf = pf.groupby('cluster')['fare'].agg(['min','count']).sort_values('min', ascending=True)\n",
    "rf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "678.0"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf.iloc[0]['min']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "678.0"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pf['fare'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>689.000000</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>15.556349</td>\n",
       "      <td>41.012193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>678.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10%</th>\n",
       "      <td>680.200000</td>\n",
       "      <td>6.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>683.500000</td>\n",
       "      <td>15.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>689.000000</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>694.500000</td>\n",
       "      <td>44.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90%</th>\n",
       "      <td>697.800000</td>\n",
       "      <td>53.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>700.000000</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              min      count\n",
       "count    2.000000   2.000000\n",
       "mean   689.000000  30.000000\n",
       "std     15.556349  41.012193\n",
       "min    678.000000   1.000000\n",
       "10%    680.200000   6.800000\n",
       "25%    683.500000  15.500000\n",
       "50%    689.000000  30.000000\n",
       "75%    694.500000  44.500000\n",
       "90%    697.800000  53.200000\n",
       "max    700.000000  59.000000"
      ]
     },
     "execution_count": 354,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf.describe([.10,.25,.5,.75,.9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# we want min of the price cluster to equal the overall min \n",
    "# as well as to be in the bottom quartile of sizes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.8000000000000007"
      ]
     },
     "execution_count": 348,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf['count'].quantile(.10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.4000000000000004"
      ]
     },
     "execution_count": 351,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series([50,6,4]).quantile(.10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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